+   [斯坦福 cs234 强化学习中文讲义](README.md)
+   [Lecture 1 Introduction to Reinforcement Learning](1.md)
+   [Lecture 3 Model Free Policy Evaluation: Policy Evaluation Without Knowing How the World Works](3.md)
+   [Lecture 4 Model Free Control](4.md)
+   [Lecture 5 Value Function Approximation](5.md)
+   [Lecture 6 CNNs and Deep Q-learning](6.md)
+   [Lecture 7 Imitation Learning](7.md)
+   [Lecture 8&9 Policy Gradient](8&9.md)
+   [Lecture 10 Advanced Policy Gradient](10.md)
+   [Lecture 11&12 Exploration and Exploitation](11&12.md)
+   [Lecture 14 Model Based RL, Monte-Carlo Tree Search](14.md)